Free Practice Questions for Datadog Fundamentals Certification

    🔄 Last checked for updates March 12th, 2026

    Study with 351 exam-style practice questions designed to help you prepare for the Datadog Fundamentals.

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    Exam Information

    Exam Details

    Key information about Datadog Fundamentals

    Official study guide

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    Question formats CertSafari offers
    • Multiple choice
    exam format:

    Multiple choice

    prerequisites:

    General computing knowledge (CPU, RAM, Data storage), Linux basics, familiarity with YAML, JSON, Python, and shell scripts, basic networking, and experience with Datadog Agent configuration and commands, Integrations, API, Metrics, Tags, Host Map, Monitors, Log Search & Filter, and Metric Search & Filter.

    target audience:

    Entry-level Datadog users who understand Observability principles and are frequent users of Datadog’s core products and features.

    time limit minutes:

    120 minutes

    number of questions:

    75 scored questions (plus 15 unscored pre-test questions)

    Exam Topics & Skills Assessed

    Skills measured (from the official study guide)

    Domain 1: Essential Concepts

    Subdomain 1.1: Config File Modification

    Config File Modification

    Subdomain 1.2: Hardware Concepts

    Hardware Concepts

    Subdomain 1.3: Metadata

    Metadata

    Subdomain 1.4: Networking

    Networking

    Subdomain 1.5: Datadog Observability

    Datadog Observability

    Domain 2: Infrastructure Development

    Subdomain 2.1: Agent Installation

    Agent Installation

    Subdomain 2.2: API Key

    API Key

    Subdomain 2.3: Application Key

    Application Key

    Subdomain 2.4: Running the Agent

    Running the Agent

    Subdomain 2.5: Agent Hostname

    Agent Hostname

    Domain 3: Networking & Agent Configuration

    Subdomain 3.1: Datadog Ports

    Datadog Ports

    Subdomain 3.2: Datadog IP Addresses

    Datadog IP Addresses

    Subdomain 3.3: Auto-discovery

    Auto-discovery

    Domain 4: Data Collection

    Subdomain 4.1: DogStatsD

    DogStatsD

    Subdomain 4.2: Crawlers

    Crawlers

    Subdomain 4.3: Agent Integrations

    Agent Integrations

    Subdomain 4.4: API Endpoints

    API Endpoints

    Subdomain 4.5: Tagging Best Practices

    Tagging Best Practices

    Subdomain 4.6: Metrics & Timeseries

    Metrics & Timeseries

    Domain 5: Troubleshooting Datadog

    Subdomain 5.1: Agent Commands

    Agent Commands

    Subdomain 5.2: Agent Logs

    Agent Logs

    Subdomain 5.3: Agent Config Files

    Agent Config Files

    Domain 6: Data Visualization & Utilization

    Subdomain 6.1: Host Map

    Host Map

    Subdomain 6.2: Dashboards

    Dashboards

    Subdomain 6.3: Using Metrics

    Using Metrics

    Subdomain 6.4: Using Tags

    Using Tags

    Subdomain 6.5: Monitors and Alerts

    Monitors and Alerts

    Techniques & products

    CPUs
    RAM
    Data storage
    Linux
    YAML
    JSON
    Python
    Shell scripts
    HTTP
    TCP
    UDP
    Datadog Agent
    Datadog Integrations
    Datadog API
    Metrics
    Tags
    Host Map
    Monitors
    Log Search
    Metric Search
    Events
    Config File Modification
    Hardware Concepts
    Metadata
    Networking
    Datadog Observability
    Agent Installation
    API Key
    Application Key
    Running the Agent
    Agent Hostname
    Datadog Ports
    Datadog IP Addresses
    Auto-discovery
    DogStatsD
    Crawlers
    API Endpoints
    Tagging Best Practices
    Metrics & Timeseries
    Agent Commands
    Agent Logs
    Agent Config Files
    Dashboards
    Monitors and Alerts
    Docker Daemon
    Query to the graph
    Docker Agent
    Metrics API
    Monitor types
    ddtrace

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